384 results about "Paired Data" patented technology

A method and an apparatus that establish a first communication channel or pair with a target device in proximity to a source device are described. A pairing message is sent to the target device in proximity to the source device over the first communication channel from the source device. A secret and an identifier associated with an application are included in the pairing message. In response to receiving the secret back from the target device for a second communication channel, pairing data of the application are sent to the target device over the second communication channel.

A computer based trading system for trading one or more financial instruments on at least one electronic exchange. The system includes a server connected to a client terminal over a communication network. The client terminal includes a GUI that displays an order book a histogram representing the market activity occurring on at least one of the plurality of electronic exchanges of a specified financial instrument. A user of the system creates and places orders by using a user pointer device coupled with the GUI so as to simultaneously a price and quantity as coordinate pair data corresponding to an arbitrary location of interaction with the GUI based on a user action. The coordinate pair data is available at continuous locations on the GUI.

An in-line power tap device that can be deployed in a data communication network in which two ports of the in-line power tap device are interchangeably coupled between any two communicating nodes to pass in-line power and data signals. The in-line power tap device also has a pair of tap ports that are coupled to external analyzers to monitor the quality of data signals without interrupting the on-going communication between the two communicating nodes. The apparatus allows one to tap into an Ethernet unshielded twisted pair data transmission line, or other source of data transmission, without disturbing the in-line power transmission and to maintain the integrity of data transmitted.

The detection of devices with duplicate media access controller (MAC) addresses in a cable network. A cable modem (CM) having a MAC address is connected by the cable network to a cable modem termination system (CMTS) having a gateway interface address. A centralized storage of historical cable modem MAC address / giaddr pair data is used to identify cable modems (CM's) that report duplicate MAC addresses. A server tracks the CM MAC address / giaddr pair data of all CM requests that it receives and stores the MAC address / giaddr pair data into a datastore (such as a database). When a CM seeks to access the network, the server looks into the datastore to determine whether the CM MAC address of the CM has previously been stored with a different associated giaddr, which would imply that there are multiple CMs attached to different CMTSs where the CMs share the same MAC address. If such duplication is detected, appropriate remedial response is taken.

A sigma delta modulator (SDM) data converter system is provided. The SDM data converter system comprises a signal path, a feedback signal path, and a multi-bit quantizer disposed in a feedforward path. The signal path receives an input signal to be processed. The feedback signal path provides a feedback signal that is subtracted from the input signal. The multi-bit quantizer is disposed in the feedforward path so as to receive the input signal after the feedback signal has been subtracted from it. Te multi-bit quantizer uses feedforward dynamic element matching (DEM) to spectrally shape mismatch errors in the SDM data conversion system and produce an output signal, wherein the output signal of the multi-bit quantizer is used for at least a portion of the feedback signal.

A radar apparatus includes a signal processor configured to: (i) in a case where a first angle peak signal closest to a prediction position in an up period and a second angle peak signal closest to the prediction position in a down period satisfy a pairing condition, finalize a combination of the first angle peak signal and the second angle peak signal as a pair data set; and (ii) in a case where the combination of the first angle peak signal and the second angle peak signal does not satisfy the pairing condition, where the plurality of angle peak signals exist in the prediction region in at least one of the up period and the down period and where a different combination from the combination of the first angle peak signal and the second angle peak signal satisfies a re-pairing condition, finalize the different combination as the pair data set.

An improved data telecommunications cable according to the invention includes a plurality of twisted pairs of insulated conductors, and a substantially flat configurable dielectric separator disposed between the plurality of twisted pairs of insulated conductors along a longitudinal length of the telecommunications cable. The data communications cable also includes a jacket assembly enclosing the plurality of twisted pairs of insulated conductors and the substantially flat dielectric pair separator. The substantially flat dielectric pair separator separates each twisted pair of insulated conductors from every other twisted pair of insulated conductors with a spacing sufficient to provide a desired crosstalk isolation between each of the plurality of twisted pairs of insulated conductors.

The invention discloses an operation method of a self-positioning robot-based multi-camera parameter automatic calibration system. A self-positioning robot carrying a marker cruises and carries out self-positioning in an offline built environment map to obtain a world coordinate, and a main control computer acquires a camera image and processes the image to obtain an image coordinate of the marker; and the main control computer can automatically carry out the parameter calibration of cameras by combining the dot pair data of more than eight world coordinates and corresponding image coordinates. The operation method provided by the invention has the greatest characteristics of automatically carrying out the parameter calibration on multiple distributed and fixed cameras, greatly reducing labor calibration cost and improving the standardization and accuracy of a calibration process. The upgrading can be realized very conveniently based on the existing monitoring system, and an advanced intelligent algorithm applied to a monitoring and visual system is based on the results of camera calibration, therefore, the operation method provided by the invention has a very broad application and popularization prospect in monitoring systems in the future road traffic, office building corridors, factories, public security and the like.

The invention discloses a school domain knowledge graph construction method based on entity identification and an attribute extraction model. The method comprises the steps of firstly, preprocessing a school domain question and answer pair data set to obtain an entity recognition model annotation data set EntityData; training an entity identification model based on BERT-BiLSTM-CRF by utilizing the data set EntityData so as to obtain a school domain entity identification model SchioolEntityModel; preprocessing the school domain question and answer pair data set to obtain an attribute extraction model annotation data set AttributeData; training a BERT-based attribute extraction model by utilizing the data set AttributeData so as to obtain a school domain attribute extraction model SchioolAttributeModel; and finally, extracting the entities, attributes and attribute values in the question pair data set through the ScheolEntity Model and the ScheolAttributeModel respectively, so that a knowledge triple is established, and a school domain knowledge graph is constructed. According to the method, the school domain knowledge graph can be effectively constructed.

The embodiment of the invention provides an automatic question and answer method and system. The method comprises the following steps of obtaining querying information of a user; querying a scene associated query result according to the querying information and question and answer pair data of at least one knowledge scene, and returning to the user, wherein the knowledge scene question and answer pair data comprise at least one question and answer pair, and the question and answer pairs are provided with a set association relationship. According to the technical scheme of the embodiment of the invention, various question and answer pairs are organized in the form of a knowledge scene, and the association relationship of the question and answer pairs is established; therefore, when the user queries, the user can obtain the query result associated with the scene, and can obtain abundant and flexible results by utilizing the association relationship among the question and answer pairs, so that the problem that the question and answer result is single is avoided.

The invention discloses a system and a method for controlling household equipment based on intelligent terminal gesture recognition. The control method comprises the following steps of: entering a learning state according to a learning instruction, obtaining a control signal for the household equipment, and extracting a gesture signal; generating matching data of the control signal for the household equipment and the gesture signal, and storing the matching data; entering a working state according to a working instruction, matching the gesture signal with the stored matching data while detecting the gesture signal, obtaining a corresponding control signal and sending the corresponding control signal; and sending the received control signal to wireless AP (access point) equipment, converting the control signal to an infrared signal by the wireless AP equipment, and controlling the household equipment according to the infrared signal. The control system disclosed by the invention integrates a learning function and a control function together, and can be conveniently used for remote control on different pieces of household equipment after one-time learning, so that the inconvenience brought by the management and the use for the various different pieces of household equipment in home life is reduced; and moreover, the household equipment is controlled by virtue of gestures, so that the user experience is joyful.

A system for managing data access, processing, and data movement across disparate data sources in a heterogeneous analytical environment. Communication and access between multiple disparate data sources is provided by an interconnect mechanism includes connectors at data source nodes and links established between the connectors to form a fabric, i.e., a set of interconnected nodes, which organizes components into a discrete environment and enables communication between paired data sources of the same or differing type within the environment.

The invention discloses a storage method suitable for key value pair data. The method comprises the following steps of: aiming at data characteristics of an LSM-tree structure, carrying out flat management on storage equipment, and respectively carrying out processing according to different characteristics of a log request and a data table request of the LSM-tree structure: storing the log request to a specific log area by using a small-granularity IO unit, and storing the data table request in a continuous physical space; assigning an id of a data table according to a storage physical space segment serial number; and during key value reading, searching the id of the data table according to meta information of the LSM-tree structure, and positioning a physical storage position of the data table according to the id. According to the storage method, the index from the id of the data table to the storage position thereof is simplified, so that LSM-tree data keeps the characteristic of continuity in a physical storage layer; and a writing operation does not need to change extra far-end index information, and the data table is stored in a compact manner, so that a deletion operation can recover the whole storage segment without carrying out extra migration and replication operations.

A method for authenticating a user to a provider, among a plurality of providers. The method uses an authentication device comprising, for each of provider, a record comprising a pairing key and first data, both as shared data. Provider authentication data comprises a first cryptogram obtained by encrypting said first data with said pairing key. Authenticating provider authentication data is performed at the authentication device by the steps of decrypting said first cryptogram by means of the pairing key stored in one of said records, then comparing the result of this decryption with first data resulting from pairing data stored in said record, if the comparison does not indicate a match, then processing again the previous decryption and comparison steps by using the pairing key of another record until each of said records stored in the authentication device has been processed.

The invention discloses a data access method and device. The data access method provided by an embodiment of the invention comprises the steps that a memory channel is established for a data file stored on a disk by utilizing a memory-mapped file mechanism; the data file is divided into a plurality of logical file blocks with the same size; the memory channel is used for writing a piece of key-value pair data into a logical file block; and index information of the logical file block is generated, when an access request is received, the logical file block is positioned according to primary key information and index information in the access request, and data in the positioned logical file block is accessed through the memory channel. According to the scheme, the disk performance and the data access flexibility are improved, the data transmission in a network can be reduced, the access response is accelerated, and the data access efficiency is higher.

The invention discloses a single-image blind motion blur removing method based on a multi-scale residual generative adversarial network. The method comprises the following steps: acquiring a GoPRo paired data set, and connecting the GoPRo paired data set to form an image pair in a fuzzy-clear form; randomly cutting the training image into an image patch with the size of 256 * 256; taking the standardized image as model training input data; designing a convolutional neural network, and outputting a deblurred image; calculating the peak signal-to-noise ratio and structural similarity of the output information of the model and the clear image of the corresponding label, and performing loss optimization; and deblurring a picture with a motion blur scene in reality by using the optimized modelparameters to obtain a corresponding clear picture. Based on the convolutional neural network, the conditional generative adversarial network is adopted as a backbone network, and the fine-grained residual module is adopted as a main body module, so that the breakthrough of converting an image deblurring problem into an image translation problem and solving the image deblurring problem is realized, and important technical support is provided for subsequent operation of image deblurring.

A network system that uses a low cost, general purpose data input terminal reduces the control processing burden of the data input terminal. The network system has data input terminals used for data entry, mobile printers, each of which is paired in a predetermined 1:1 relationship to a specific data input terminal, and a data processing server. Each mobile printer prints data based on information input to the corresponding data input terminal. The data processing server communicates over a network with each of the data input terminal / mobile printer devices, and centrally controls the devices including their output terminals. The data processing server controls all data output by the mobile printers, such that data output by a given mobile printer is based on data from the paired data input terminal.

Provided are a reply recommendation apparatus using collected data, and a system and method for automatic text construction. The reply recommendation apparatus includes a data collecting unit collecting dialog pair data including parent text data corresponding to a query and child text data, a data pre-processing unit pre-processing the collected data pair data, a vectorizing unit matching the pre-processed data to particular points on the coordinate system having predefined axes, a clustering unit performing clustering using information on the matched particular points and merging all or some of texts included in one of clusters using a preset merging method, a ranking unit scoring the degree of appropriateness as a reply to the received message for each of the clusters using a first preset scoring method, and a recommended reply providing unit providing recommended replies sequentially represented by high score assigned when the ranking unit scores the degree of appropriateness.

The invention belongs to the technical field of e-commerce, and provides a universal method for correlating single items of different e-commerce websites. The method comprises the steps as follows: step 1, extracting commodity identification; step 2, obtaining the key value pair data of the commodity identification from commodity single item pages of different websites; step 3, describing and classifying the commodity identification obtained in the step 1; dividing the description information of each item ID obtained in the step 1 into a page headline and an attribute list; step 4, matching each commodity identification with the commodity identification in other websites, and selecting the item ID similar to the commodity identification in the other websites. The method of the invention improves the matching degree of the commodities in different websites, and enables the matching to be faster, thereby greatly increasing number of the users with purchasing intensions and improving commercial value.

The invention provides a SAR image sample generation method based on a sketch and structure generation antagonistic network, which mainly solves the problem of sample imbalance in the semantic segmentation of the SAR image. The method comprises the following steps of: (1) sketching a SAR image to obtain a sketch map; (2) according to the region map of SAR image, extracting the small extremely heterogeneous region; (3) constructing a paired data set of sketch blocks-SAR image blocks; (4) selecting the samples from the data set to compose the training set and the test set; (5) constructing a generating antagonistic network based on sketch information and structural constraints; (6) training the sketch fitting network, the discrimination network and the generation network alternately by sketch line loss, antagonistic loss and generator loss,; (7), inputting a test sketch block to the trained generation network to obtain a generated SAR image block. The invention can generate SAR image samples coinciding with the original SAR image ground object structure according to the sketch map, and can solve the sample unbalance problem of extremely uneven region classification of the SAR image.

The invention provides a cross-modal generalized zero sample retrieval method based on a dual learning generative adversarial network. The method comprises: constructing a generative adversarial network based on dual learning; mapping the high-dimensional visual features of different modes to a common low-dimensional semantic embedding space; secondly, constructing multiple constraint mechanisms to perform cyclic consistency constraint, generative adversarial constraint and classifier constraint so as to maintain visual-semantic consistency and generated feature-source feature consistency, andperforming cross-modal retrieval after training of the whole network, so that the model is more powerful in performance in generalization of zero-sample retrieval. Meanwhile, in the whole training process, paired multimedia data pairs on the pixel level do not need to serve as training samples, only paired data on the category are needed, so that the complexity and expensive cost of data set collection are reduced, the retrieval effect is better, and performance improvement is more obvious in the zero-sample generalization retrieval problem.

The invention discloses a method and device for storing data. The method specifically comprises the steps of obtaining key value pair data to be stored; storing the key value pair data in pre-write log files of a disk; generating an index entry for the key value pair data in a memorizer according to the storing position of the key value data in the disk and keys in the key value pair data so as to execute preset operation on the key value pair data through the index entry, and writing the key value pair data reserved in a pre-write log file which satisfies a preset condition into the disk when the pre-write log file which satisfies a merging settling condition is detected, wherein the storing position comprises at least the file name of the pre-write log file and offset of the key value pair data in the pre-write log file and the initial position of the file. According to the method and device for storing the data, the problem of write amplification can be avoided, and the effectiveness of stored data is improved.

The invention discloses a channel simulation implementation method based on a conditional generative adversarial network. An original data set is generated from actually sent and received signal pairs, then the original data set is expressed in a double-channel two-dimensional time-frequency domain signal mode and used for training of a conditional generative adversarial network model, and the trained conditional generative adversarial network model can accurately simulate channels. According to the method, the advantages of effectiveness and accuracy of the cGAN in learning data probability distribution and success of the cGAN in the field of image generation are applied to channel modeling. A number of measured and acquired transmission signals and reception signals are trained as paired data sets to train a generative adversarial network, and the generative network is equivalent to a model of the channel when a discriminator in the generative adversarial network cannot identify the reception signals in the real channel and the reception signals generated by the generative network.

The invention discloses a real image denoising method based on generative adversarial network noise modeling, and aims to solve the problem that real image noise cannot be effectively removed due to difficulty in explicit modeling by utilizing a deep convolutional neural network. The method comprises the following steps: firstly, learning real image noise distribution by utilizing a generative adversarial network, and constructing a paired data set; and secondly, training a denoising network by using the constructed data set to realize removal of real noise. According to the method, the denoising network is established by using the residual block, and the noise estimation algorithm and the reversible up-down sampling operation are introduced into the denoising network, so that the blind image denoising performance of the single network model is improved, and the edge information and detail features of the original image are reserved as much as possible while unknown distribution noiseis effectively removed.

A computing device capable of communicating over multiple types of communication channel pairing data for use with a further type of communication channel, the device being arranged to communicate pairing data with another device in response to a pairing stimulus and to communicate that pairing data over each of said multiple types of communication channel.

The embodiment of the invention provides a training method and device of a question-answer pair classification model. The method comprises the steps of obtaining question-answer pair data; extracting question-answer pair characteristics from the question-answer pair data; labeling a classification tag on the question-answer pair data according to the quality of the question-answer pair data; training the question-answer pair classification model through the question-answer pair characteristics and the classification tag. The quality of the question-answer pair data is adopted to automatically label a large quantity of training sets, the question-answer pair classification model is classified, that is, to predict the quality score, the artificial strategy is avoided, thus the problems that feature information adopted in the artificial strategy is few, the active feedback rate of a user is low, the subjective judgment of a quizzer is depended on, the cheating phenomenon in the advertisement is serious, and the strategy is unstable caused when the feedback information of the user to new question-answer pair data and historical question-answer pair data is imbalanced are solved, and good forecast accuracy rates are obtained in both the historical question-answer pair data and the new question-answer pair data.